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Traffic control algorithms based on optimization may not always be applicable on-line, since they are computationally demanding and may not always comply with the typical sampling times adopted for traffic systems. In this paper, we propose a new approach to freeway traffic control based on the Classification And Regression Trees (CART) methodology. In our approach, a standard centralized receding...
The objective of this paper is the definition of a distributed model predictive control scheme for freeway systems. The proposed control scheme is based on an innovative reformulation of the adopted prediction model. The control approach is stated in a centralized framework, in two different cluster-based distributed architectures and in a decentralized one. Specifically, control distribution is exploited...
In this paper, a networked switched control strategy based on Sliding Mode Control is presented. The idea pursued in this work is to reduce to a minimum the packet rate over the network, in order to limit the problems induced by the transmission of the state measurement between the sensor and the controller, while providing performance comparable with that of a non networked Sliding Mode Control scheme...
In this paper event-triggered model predictive schemes for the networked control of freeway traffic systems via ramp metering are proposed, with the final aim of reducing both the computational and the communication effort. When in traffic control systems the communication between the sensors and the controller occurs through a shared digital communication network, this latter can be affected by network...
Objective of this paper is to define an efficient control framework for freeway systems based on ramp metering. First of all, a Model Predictive Control (MPC) scheme is proposed in which the well known nonlinear cell transmission model (CTM) is used for the prediction. The model is then reformulated as a mixed logical dynamical (MLD) system, i.e. it is described by linear dynamic equations and linear...
The problem of the distributed identification of a macroscopic first-order traffic model, viz. the Cell Transmission Model (CTM), is considered in the paper. The parameters to be identified characterize the dynamics of the density in different sections of the freeway (cells). We explore different distributed identification schemes. The purposes of the approach are mainly to obtain good prediction...
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